Build and maintain complex data pipelines for the ingestion and processing of multimodal data to support AI models. Collaborate with data science and machine learning teams to ensure scalability, performance, and data quality.
The Cloud Solutions Architect will serve as the technical reference for engineering teams, ensuring the scalability and resilience of cloud infrastructure. You will lead automation efforts, optimize critical workloads, and implement continuous improvements within a high-scale ecosystem.
Design, develop, and maintain robust data pipelines while ensuring data quality, governance, and observability. Implement advanced data processing solutions using modern cloud architectures and AI/GenAI technologies.
The Senior Cloud Solutions Architect will design and approve end-to-end cloud architectures while ensuring adherence to security, performance, and cost-optimization standards. They will act as a technical reference for infrastructure governance and provide detailed architectural documentation including C4 models and ADRs.
The AI Developer Specialist will act as a technical reference for developing and integrating generative AI solutions, agents, and various tools. Responsibilities include designing hybrid architectures, analyzing AI performance, documenting solutions, and promoting best practices in observability and monitoring.
Develop and maintain high-performance backend services using Kotlin for critical banking core systems on AWS. Implement cloud-native solutions, manage container orchestration via Kubernetes, and ensure secure, scalable event processing with Kafka and SQS.
